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FOGA
1994
9 years 2 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
ICGA
1997
134views Optimization» more  ICGA 1997»
9 years 2 months ago
Local Search Genetic Algorithm for Optimization of Highly Reliable Communications Networks
This paper presents a genetic algorithm (GA) with specialized encoding, initialization and local search genetic operators to optimize communication network topologies. This NPhard...
Berna Dengiz, Fulya Altiparmak, Alice E. Smith
NC
1998
138views Neural Networks» more  NC 1998»
9 years 2 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
ILP
2000
Springer
9 years 5 months ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
9 years 5 months ago
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
In this paper we describe a method for improving genetic-algorithm-based optimization using informed genetic operators. The idea is to make the genetic operators such as mutation ...
Khaled Rasheed, Haym Hirsh
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
9 years 5 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
EUROGP
2004
Springer
9 years 5 months ago
On the Evolution of Evolutionary Algorithms
In this paper we discuss the evolution of several components of a traditional Evolutionary Algorithm, such as genotype to phenotype mappings and genetic operators, presenting a for...
Jorge Tavares, Penousal Machado, Amílcar Ca...
PPSN
1998
Springer
9 years 5 months ago
Parallel Evolutionary Optimisation with Constraint Propagation
Abstract. This paper describes a parallel model for a distributed memory architecture of a non traditional evolutionary computation method, which integrates constraint propagation ...
Alvaro Ruiz-Andino, Lourdes Araujo, José J....
GECCO
2004
Springer
9 years 7 months ago
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Genetic algorithms have been successfully applied to many difficult problems but there have been some disappointing results as well. In these cases the choice of the internal repre...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
9 years 7 months ago
Topological Interpretation of Crossover
Abstract. In this paper we give a representation-independent topological definition of crossover that links it tightly to the notion of fitness landscape. Building around this defi...
Alberto Moraglio, Riccardo Poli
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